{"created":"2025-01-19T01:29:12.183440+00:00","updated":"2025-01-19T11:24:25.026058+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229815","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"229815","title":["Graph convolutional networks for node classification in issue-based information system"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"b400b0c6-73a5-49f3-a172-c3dae4f742dc"},"_deposit":{"id":"229815","pid":{"type":"depid","value":"229815","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Graph convolutional networks for node classification in issue-based information system","author_link":["618191","618192"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Graph convolutional networks for node classification in issue-based information system"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京大"},{"subitem_text_value":"京大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/229815/files/IPSJ-Z85-1C-03.pdf","label":"IPSJ-Z85-1C-03.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-1C-03.pdf","filesize":[{"value":"423.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"8a7d1cb5-3bb2-4fcb-8553-8ad89ba5eac6","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"丁, 世堯"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 孝行"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Issue-based information system (IBIS) is a classic argumentation-based approach to solve wicked problems. One of its important problems is how to classify labels for its nodes such as ideas and issues from argumentation documents, which usually causes a huge burden. In this paper, we propose a graph convolutional networks (GCN)-based method that can automatically classify the node labels by efficiently utilizing the relationship of the nodes. Specifically, we consider two kinds of IBIS structures: strict-IBIS and soft-IBIS which are distinguished by whether the argumentation structures strictly follow IBIS definition. We then perform evaluations on a real English discussion dataset to confirm the effectiveness of our proposed method.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"28","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"27","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229815,"links":{}}